@misc{Grzegorzewski_Przemysław_Bootstrapped,
 author={Grzegorzewski, Przemysław and Romaniuk, Maciej},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={Epistemic bootstrap is a resampling algorithm that generates bootstrap real-valued samples based on some epistemic fuzzy data input. We apply this method as a universal basis for various statistical tests which can be then directly used for fuzzy random variables. Two classical goodness-of-fit tests are considered as an example to examine the suggested methodology for both synthetic and real data. The proposed approach is also compared with two other goodness-of-fit tests dedicated directly to fuzzy data.},
 type={artykuł},
 title={Bootstrapped tests for epistemic fuzzy data},
 keywords={bootstrap, fuzzy data, nonparametric statistics, simulation, statistical computing},
}